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Microstructural modelling of autogenous shrinkage in Portland cement paste at early age

机译:初龄龄地区硅泥浆自体缩收的微观结构建模

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PurposeThis paper aims to develop a numerical, micromechanical model to predict the evolution of autogenous shrinkage of hydrating cement paste at early age (up to 7 days). Autogeneous shrinkage can be important in high-performance concrete characterized by low water to cement (w/c) ratios. The occurrence of this phenomenon during the first few days of hardening may result in early-age cracking in concrete structures. A good prediction of autogeneous shrinkage is necessary to achieve better understanding of the mechanisms and the deployment of effective measures to prevent early-age cracking.Design/methodology/approachThree-dimensional digital microstructures from the hydration modelling platform mu ic of cement paste were used to simulate macroscopic autogenous shrinkage based on the mechanism of capillary tension. Elastic and creep properties of the digital microstructures were calculated by means of finite element (FE) method homogenization. Autogenous shrinkage was then estimated as the average hydrostatic strain resulting from the capillary stress that was globally applied on the simulated digital microstructures. For this estimation, two approaches of homogenization technique, i.e. analytical poro-elasticity and numerical creep-superposition were used.FindingsThe comparisons of between the simulated and experimentally measured deformations indicate that the creep-superposition approach is more reasonable to estimate shrinkage at different water to cement ratios. It was found that better estimations could be obtained at low degrees of hydration, by assuming a loosely packed calcium silicate hydrates (C-S-H) growing in the microstructures. The simulation results show how numerical models can be used to upscale from microscopic characteristics of phases to macroscopic composite properties such as elasticity, creep and shrinkage.Research limitations/implicationsWhile the good predictions of some cement paste properties from the microstructure at early age were obtained, the current models have several limitations that are needed to overcome in the future. Firstly, the limitation of pore-structure representation is not only from lack understanding of C-S-H structure but also from the computational complexity. Secondly, the models do not consider early-age expansion that usually happens in practice and appears to be superimposed on an underlying shrinkage as observed in experiments. Thirdly, the simplified assumptions for mechanical simulation do not accurately reflect the solid-liquid interactions in the real partially saturated system, for example, the globally applying capillary stress on the boundary of the microstructure to find the effective deformation, neglecting water flow and the pore pressure. Last but not least, the models, due to the computational complexities, use many simplifications such as FE approximation, mechanical phase properties and creep statistical data.Originality/valueThis study holistically tackles the phenomenon of autogeneous shrinkage through microstructural modelling. In a first such attempt, the authors have used the same microstructural model to simulate the microstructural development, elastic properties, creep and autogeneous shrinkage. The task of putting these models together was not simple. The authors have successfully handled several problems at each step in an elegant manner.For example, although several earlier studies have pointed out that discrete models are unable to capture the late setting times of cements due to mesh effects, this study offers the most effective solution yet on the problem. It is also the first time that creep and shrinkage have been modelled on a young evolving microstructure that is subjected to a time variable load.
机译:目的纸目的是开发一个数值,微机械模型,以预测早期水泥浆料自生收缩的演变(最多7天)。自动收缩在高性能混凝土中可能是重要的,其特征在于低水量至水泥(W / C)比率。在硬化的最初几天内发生这种现象可能导致混凝土结构的早期裂缝。需要良好地预测自动收缩,以实现对机制的更好理解和部署有效措施,以防止早期裂缝。用水水合浆料的水合模拟平台亩IC的级别Quethodology / PreckeThree-二维数字微观结构用于基于毛细血管张力机理模拟宏观自生收缩。通过有限元(Fe)均质化计算数字微结构的弹性和蠕变性能。然后估计自生收缩作为由全局施加在模拟数字微结构上的毛细管应力产生的平均静水菌株。对于该估计,使用了两种均质化技术,即分析孔弹性和数值蠕变叠加的方法。模拟和实验测量变形之间的比较表明蠕变叠加方法更合理以估算不同水处的收缩水泥比。发现通过假设在微结构中生长的松散填充的硅酸钙水合物(C-S-H),可以在低水合地获得更好的估计。仿真结果表明,如何将数值模型从阶段的微观特征升高到宏观复合性质,例如弹性,蠕变和收缩。研究限制/含义从休眠期间从微观结构的良好预测中获得了良好的预测,目前模型有几个限制需要在未来克服。首先,孔隙结构表示的限制不仅缺乏对C-S-H结构的理解,而且来自计算复杂性。其次,模型不考虑通常在实践中发生的早期扩张,并且似乎叠加在实验中观察到的底层收缩。第三,机械模拟的简化假设不准确地反映真实部分饱和的系统中的固液相互作用,例如,在微观结构的边界上全局施加毛细管应力,以找到有效的变形,忽略水流和孔压力。最后但并非最不重要的是,由于计算的复杂性,使用许多简化,例如Fe近似,机械相位特性和蠕变统计数据。体内/患者通过微结构建模来解决自动收缩现象。在第一种这种尝试中,作者使用了相同的微观结构模型来模拟微观结构发育,弹性性质,蠕变和自动收缩。将这些模型放在一起的任务并不简单。该作者以优雅的方式成功地处理了几个问题。例如,虽然有几个早期的研究指出,除了网格效应导致的离散模型无法捕获水泥的晚期设置时间,但该研究提供了最有效的解决方案尚未解决问题。也是第一次蠕变和收缩已经在经受时间可变负载的年轻不断发展的微观结构上进行建模。

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